An efficient approach to representing and mining knowledge from Qing court medical records

Abstract

Research on Qing Court Medical Records (RQCMR) is a large-volume book which was edited and annotated by the sixth co-author Keji, Chen and his colleagues, and consists of all the medical records of imperial families and aristocrats of the Qing dynasty. To reveal and utilize their high value both in traditional Chinese medicine research and modern clinical practice, we have developed a method of transforming the Qing Court Medical Records (QCMR) into a computer-readable, structured representation, so that statistical analysis and data mining can be accurately performed. The method consists of a frame ontology based medical language, called MedL, for representing QCMR, a parser for compiling MedL frames into a database, and an explorative pattern mining technique. With this method the entire RQCMR volume is transformed into a database and medical patterns may be mined from the database.

Keywords

Traditional Chinese medicine / Qing court medical records / frame ontology / explorative pattern mining

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Acknowledgements

This research was supported by the Research Fund of Capital Medical Development (2007-3-35), the China Postdoctoral Science Foundation (20080430539), and the National Natural Science Foundation of China (Grant No. 60773059). Any opinions, findings, and conclusions contained in this document are those of the authors and do not reflect the views of these agencies.

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg